Stability number prediction for breakwater armor blocks using Support Vector Regression

被引：0
|
作者：
Dookie Kim
Dong Hyawn Kim
Seongkyu Chang
Jong Jae Lee
Do Hyung Lee
机构：
[1] Kunsan National University,Dept. of Civil and Environmental Engineering
[2] Kunsan National University,Dept. of Coastal Construction Engineering
[3] Sejong University,Dept. of Civil and Environmental Engineering
[4] Paichai University,Dept. of Civil, Environmental and Railroad Engineering
来源：
KSCE Journal of Civil Engineering | 2011年 / 15卷
关键词：
support vector regression; armor blocks; breakwaters; stability number;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents the Support Vector Regression (SVR) to predict the stability number of armor blocks of breakwaters. The experimental data of van der Meer are used as the training and test data for the SVR in this study. Estimated results of SVR are compared with those of the empirical formula and a previous Artificial Neural Network (ANN) model. The comparison of results shows the efficiency of the proposed method in the prediction of the stability numbers. The proposed method proves to be an effective tool for designers of rubble mound breakwaters to support their decision process and to improve design efficiency.
引用
收藏
页码：225 / 230
页数：5
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